Intraoperative identification of pulmonary nodules during minimally invasive thoracic surgery: a narrative review.

BACKGROUND AND OBJECTIVE

The increasingly widespread application of computed tomography (CT) in the screening and follow-up of patients with lung disease has concomitantly increased the detection rate of pulmonary nodules. Currently, minimally invasive thoracic surgery (MITS) has become the preferred method of surgery for patients with pulmonary ground-glass nodules (GGNs) due to its advantages minimal invasiveness and rapid recovery. However, target nodule identification during MITS is sometimes challenging due to the inherent characteristics of these nodules, especially when they are small and distant from the pleura. This review details the many methods used for the intraoperative localization of pulmonary nodules.

METHODS

Literature published in the Cochrane Library, PubMed, ClinicalTrials, and China National Knowledge Infrastructure from 1990 to 2022 were searched and analyzed to obtain a comprehensive review of the different methods of identifying pulmonary nodules. Literature related to animal testing were excluded.

KEY CONTENT AND FINDINGS

An overview of the recent progress in the clinical methods for intraoperative localization of pulmonary nodules [including CT-guided percutaneous placement of markers; bronchoscopy-guided placement of markers; intraoperative ultrasonography; three-dimensional (3D) printing technology; artificial intelligence (AI); and intraoperative molecular imaging (IMI)] was conducted. The advantages and disadvantages, as well as the complications associated with existing research methods, were summarized to assist doctors in the development of optimized clinical strategies.

CONCLUSIONS

Clinicians can communicate with the multidisciplinary team and select the appropriate positioning method according to each patient's individual situation and the available support of the equipment and technology of the institution. Certain non-invasive and specific identification methods may have clinical potential in pulmonary nodule localization in the future.